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Information Discovery in Biological Datasets
Start Date: 2/1/2013Start Time: 4:00 PM
End Date: 2/1/2013End Time: 5:30 PM

Event Description
Dr. Julia Stoyanovich, assistant professor in The iSchool @ Drexel University, will discuss her research, the focus of which is on enabling novel kinds of interaction between the user and the information in a variety of digital environments, ranging from social content sites, to digital libraries, to the Web. She will present two recent lines of work that focus on information discovery in life sciences datasets. In the first part, Dr. Stoyanovich will discuss information discovery in PubMed – the largest public bibliographic resource in life sciences. PubMed articles are annotated with terms from the Medical Subject Headings (MeSH) vocabulary – a manually curated semantic knowledge base, which we propose to use for relevance ranking. She will present novel relevance measures appropriate for MeSH, and will demonstrate that ranking with these measures leads to a better user experience. The second part will focus on scientific workflows, which are commonly used for in silico experimentation in scientific domains, and encode a sequence of steps that progressively transform one or several data products. Workflows are gaining popularity, because they help make experiments reproducible, and may be used to answer questions about data provenance – the dependencies between input, intermediate, and output data. Dr. Stoyanovich will also discuss recent and ongoing work on querying, searching and browsing scientific workflow repositories.
Contact Information:
Name: Banu Onaral
Phone: 215-895-2247
Email: banu.onaral@drexel.edu
Biomed DEC.jpg
Location:
The Papadakis Integrated Sciences Building, located on the northeast corner of 33rd and Chestnut Streets.
Audience:
  • Alumni
  • Current Students
  • Faculty
  • Prospective Students
  • Public
  • Staff

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